The Digital Press

Developers are using chat-based AI agents like GitHub Copilot's agent mode to speed up coding, but must remain actively involved to ensure quality and control. Choosing the right large language model (LLM) and adopting a structured, step-by-step workflow enhances the results and maintainability of AI-generated code.

Why it matters: Effective use of AI coding agents can significantly boost development speed and quality, but developers must still oversee and verify outputs.

The big picture: Combining human architectural planning with AI coding agents creates a balanced workflow that maintains control and fosters maintainable software.

Stunning stat: Using a guided approach with Claude Sonnet 4, a working Angular app was built and tested in just four prompts within a few hours.

Commenters say: Many emphasize the importance of developer oversight and experience, while praising AI for automating tests and accessibility but cautioning about AI hallucinations and trust issues.